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» Distributed sparse linear regression
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IPPS
1998
IEEE
15 years 6 months ago
Local Enumeration Techniques for Sparse Algorithms
Several methods have been proposed in the literature for the local enumeration of dense references for arrays distributed by the CYCLIC(k) data-distributionin High Performance For...
Gerardo Bandera, Pablo P. Trabado, Emilio L. Zapat...
114
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ICASSP
2009
IEEE
15 years 9 months ago
RLS-weighted Lasso for adaptive estimation of sparse signals
The batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of interest emerging in various applications, where obse...
Daniele Angelosante, Georgios B. Giannakis
FGR
2011
IEEE
288views Biometrics» more  FGR 2011»
14 years 5 months ago
Facial action unit recognition with sparse representation
This paper presents a novel framework for recognition of facial action unit (AU) combinations by viewing the classification as a sparse representation problem. Based on this framew...
Mohammad H. Mahoor, Mu Zhou, Kevin L. Veon, Seyed ...
DC
2010
15 years 2 months ago
Distributed algorithms for ultrasparse spanners and linear size skeletons
We present efficient algorithms for computing very sparse low distortion spanners in distributed networks and prove some non-trivial lower bounds on the tradeoff between time, spar...
Seth Pettie
QNS
1996
15 years 3 months ago
Case studies on the development of ScaLAPACK and the NAG Numerical PVM Library
In this paper we look at the developmentof ScaLAPACK, a software library for dense and banded numerical linear algebra, and the NAG Numerical PVM Library, which includes software ...
Jack Dongarra, Sven Hammarling, Antoine Petitet